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Area of Science:

  • Neuroscience
  • Consumer Behavior
  • Product Design

Background:

  • Product attractiveness significantly influences consumer reactions and purchasing decisions.
  • Previous research primarily used behavioral studies, lacking insight into the neural underpinnings of attractiveness perception.
  • Understanding neural mechanisms can lead to objective, brain-activity-based design guidelines.

Purpose of the Study:

  • To identify the neural network for evaluating highly attractive product images.
  • To identify the neural network for evaluating less attractive product images.
  • To contrast neural network differences between high and low attractiveness evaluations.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was used to measure brain activity.
  • Participants viewed product images of varying attractiveness levels.
  • Neural activation patterns were analyzed in response to different attractiveness levels.

Main Results:

  • Highly attractive images activated the anterior cingulate cortex (ACC) and occipital pole.
  • Less attractive images activated the insula and inferior frontal gyrus (IFG).
  • Distinct neural networks were observed for high versus low attractiveness evaluations.

Conclusions:

  • Highly attractive designs engage reward-related brain regions.
  • Less attractive designs activate areas associated with emotional processing.
  • Findings provide a neuroscientific basis for enhancing product appeal and consumer engagement through design.